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Description:
Most evaluations for vector space models are semantically motivated, e.g. by measuring how well they capture word similarity. If one is interested in syntax-related downstream applications such as dependency parsing, a syntactically motivated evaluation seems preferable. As we show, the choice of embeddings has a noticeable impact on parser performance. Since evaluating embeddings directly in a parser is costly, we analyze the correlation between the full parsing task and a simple linear classification task as a potential proxy.